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Should we embrace “Big Sister”? Smart speakers as a means to combat intimate partner violence
It is estimated that one in three women experience intimate partner violence (IPV) across the course of their life. The popular uptake of “smart...
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Illicit Drug Purchases via Social Media Among American Young People
Illicit drugs are sold online. Besides cryptomarkets, young people today are also using social media to buy and sell different drugs. The aim of...
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FortiRx: Distributed Ledger Based Verifiable and Trustworthy Electronic Prescription Sharing
A paper-based prescription signed by the prescriber to authorize dispensing of medication is typically used in traditional healthcare. Such systems...
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HinPage: Illegal and Harmful Webpage Identification Using Transductive Classification
With the growing popularity of the Internet, websites could make significant profit by hosting illegal and harmful content, such as violence, sexual,...
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Detecting Illicit Drug Ads in Google+ Using Machine Learning
Opioid abuse epidemics is a major public health emergency in the US. Social media platforms have facilitated illicit drug trading, with significant...
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Beyond the ‘Silk Road’: Assessing Illicit Drug Marketplaces on the Public Web
Criminals take advantage of internet communications to amplify the impact of their actions and to form international criminal networks. At the same...
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Protecting Privacy in Volunteered Geographic Information Processing
Social media data is used for analytics, e.g., in science, authorities, or the industry. Privacy is often considered a secondary problem. However,...
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Incorporating digital games into anti-drug material: non-drug-addicted learners vs. drug-addicted learners
Drug abuse causes serious problems around the world. Thus, anti-drug material has been increasingly developed and used. However, conventional...
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Deep Self-Taught Learning for Detecting Drug Abuse Risk Behavior in Tweets
Drug abuse continues to accelerate toward becoming the most severe public health problem in the United States. The ability to detect drug abuse risk...
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Relapse Cases Among Drug Addicts Using Logistic Regression Modeling
The objective of this study is to use this statistical method to determine the factors which are considered to be significant contributors for...
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Forensic investigation of the dark web on the Tor network: pathway toward the surface web
The Dark Web is notorious for being a huge marketplace that promotes illegal products such as indecent images of children, drug, private data, and...
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Blockchain in Pharmaceutical Research and the Pharmaceutical Value Chain
Pharmaceutical research can yield life-changing agents for treating and curing disease, improving quality of life, extending life, and enhancing...
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Physicians’ Brain Digital Twin: Holistic Clinical & Biomedical Knowledge Graphs for Patient Safety and Value-Based Care to Prevent the Post-pandemic Healthcare Ecosystem Crisis
The ‘reading to cognition gaps’ and the ‘knowledge to action gaps’ for a physician or a care provider are the root causes of patient harm and the...
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InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse Detection
We present a novel generative adversarial network (GAN) model, called InsightGAN, for drug abuse detection. Our model is inspired by two closely...
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Optimizing healthcare system by amalgamation of text processing and deep learning: a systematic review
The explosion of clinical textual data has drawn the attention of researchers. Owing to the abundance of clinical data, it is becoming difficult for...
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Understanding and Mitigating Security Risks of Network on Medical Cyber Physical System
The Medical Cyber-Physical System (MCPS) holds the promise of reducing human errors and optimizing healthcare by integrating medical devices,...
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Chronic Cough: Characterizing and Quantifying Burden in Adults Using a Nationwide Electronic Health Records Database
Chronic cough is a common condition; until recently, no International Classification of Diseases (ICD) code for chronic cough existed; therefore, the...
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An NLP-assisted Bayesian time-series analysis for prevalence of Twitter cyberbullying during the COVID-19 pandemic
COVID-19 has brought about many changes in social dynamics. Stay-at-home orders and disruptions in school teaching can influence bullying behavior...
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Physical Surveillance
Physical surveillance plays an important role in counterintelligence and counterespionage efforts. By monitoring and observing an organization’s...
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A survey on video content rating: taxonomy, challenges and open issues
Rating a video based on its content is one of the most important solutions to classify videos for audience age groups. In this regard, Film content...
